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<li class="navelem"><a class="el" href="dir_5956a3e80a20e8e03eb577bedb92689f.html">gpu</a></li>  </ul>
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<div class="title">GpuIndex.cu</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;GpuIndex.h&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &quot;../FaissAssert.h&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;GpuResources.h&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;utils/CopyUtils.cuh&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;utils/DeviceUtils.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;utils/StaticUtils.h&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment">/// Default CPU search size for which we use paged copies</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"></span>constexpr <span class="keywordtype">size_t</span> kMinPageSize = (size_t) 256 * 1024 * 1024;</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment">/// Size above which we page copies from the CPU to GPU (non-paged</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment">/// memory usage)</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="comment"></span>constexpr <span class="keywordtype">size_t</span> kNonPinnedPageSize = (size_t) 256 * 1024 * 1024;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment">// Default size for which we page add or search</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;constexpr <span class="keywordtype">size_t</span> kAddPageSize = (size_t) 256 * 1024 * 1024;</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="comment">// Or, maximum number of vectors to consider per page of add or search</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;constexpr <span class="keywordtype">size_t</span> kAddVecSize = (size_t) 512 * 1024;</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="comment">// Use a smaller search size, as precomputed code usage on IVFPQ</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment">// requires substantial amounts of memory</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment">// FIXME: parameterize based on algorithm need</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;constexpr <span class="keywordtype">size_t</span> kSearchVecSize = (size_t) 32 * 1024;</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;GpuIndex::GpuIndex(GpuResources* resources,</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;                   <span class="keywordtype">int</span> dims,</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;                   <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a> metric,</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                   GpuIndexConfig config) :</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    Index(dims, metric),</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    resources_(resources),</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    device_(config.device),</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    memorySpace_(config.memorySpace),</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    minPagedSize_(kMinPageSize) {</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  FAISS_THROW_IF_NOT_FMT(device_ &lt; getNumDevices(),</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;                     <span class="stringliteral">&quot;Invalid GPU device %d&quot;</span>, device_);</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;  FAISS_THROW_IF_NOT_MSG(dims &gt; 0, <span class="stringliteral">&quot;Invalid number of dimensions&quot;</span>);</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="preprocessor">#ifdef FAISS_UNIFIED_MEM</span></div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="preprocessor"></span>  FAISS_THROW_IF_NOT_FMT(</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    memorySpace_ == MemorySpace::Device ||</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    (memorySpace_ == MemorySpace::Unified &amp;&amp;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;     getFullUnifiedMemSupport(device_)),</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="stringliteral">&quot;Device %d does not support full CUDA 8 Unified Memory (CC 6.0+)&quot;</span>,</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    config.device);</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="preprocessor"></span>  FAISS_THROW_IF_NOT_MSG(memorySpace_ == MemorySpace::Device,</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;                     <span class="stringliteral">&quot;Must compile with CUDA 8+ for Unified Memory support&quot;</span>);</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;  FAISS_ASSERT(resources_);</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;  resources_-&gt;initializeForDevice(device_);</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;}</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#a6c82cbea6b02cc996d634f822c1d310b">   69</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a6c82cbea6b02cc996d634f822c1d310b">GpuIndex::setMinPagingSize</a>(<span class="keywordtype">size_t</span> size) {</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a32a08664fc4dca2f9405e07ea5bc206f">minPagedSize_</a> = size;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;}</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="keywordtype">size_t</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#adbdc96814ff2d4390dfd860bd5918203">   74</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#adbdc96814ff2d4390dfd860bd5918203">GpuIndex::getMinPagingSize</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a32a08664fc4dca2f9405e07ea5bc206f">minPagedSize_</a>;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;}</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#af576341f6996b0e80e26b9748db51eb7">   79</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#af576341f6996b0e80e26b9748db51eb7">GpuIndex::add</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x) {</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;  <span class="comment">// Pass to add_with_ids</span></div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a47f6969fe60d82b8e3407557ba9eec88">add_with_ids</a>(n, x, <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;}</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#a47f6969fe60d82b8e3407557ba9eec88">   85</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a47f6969fe60d82b8e3407557ba9eec88">GpuIndex::add_with_ids</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n,</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                       <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                       <span class="keyword">const</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* ids) {</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;  FAISS_THROW_IF_NOT_MSG(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>, <span class="stringliteral">&quot;Index not trained&quot;</span>);</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  <span class="comment">// For now, only support &lt;= max int results</span></div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  FAISS_THROW_IF_NOT_FMT(n &lt;= (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>) std::numeric_limits&lt;int&gt;::max(),</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                         <span class="stringliteral">&quot;GPU index only supports up to %d indices&quot;</span>,</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                         std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  <span class="keywordflow">if</span> (n == 0) {</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <span class="comment">// nothing to add</span></div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  }</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  std::vector&lt;Index::idx_t&gt; generatedIds;</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;  <span class="comment">// Generate IDs if we need them</span></div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  <span class="keywordflow">if</span> (!ids &amp;&amp; <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a358cad8f80a9c4b3aff45f3f7c131d03">addImplRequiresIDs_</a>()) {</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    generatedIds = std::vector&lt;Index::idx_t&gt;(n);</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    <span class="keywordflow">for</span> (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> i = 0; i &lt; n; ++i) {</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;      generatedIds[i] = this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> + i;</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    }</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  }</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  addPaged_((<span class="keywordtype">int</span>) n, x, ids ? ids : generatedIds.data());</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;}</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;GpuIndex::addPaged_(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;                    <span class="keyword">const</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* ids) {</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  <span class="keywordflow">if</span> (n &gt; 0) {</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <span class="keywordtype">size_t</span> totalSize = (size_t) n * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>);</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="keywordflow">if</span> (totalSize &gt; kAddPageSize || n &gt; kAddVecSize) {</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;      <span class="comment">// How many vectors fit into kAddPageSize?</span></div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;      <span class="keywordtype">size_t</span> maxNumVecsForPageSize =</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        kAddPageSize / ((size_t) this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;      <span class="comment">// Always add at least 1 vector, if we have huge vectors</span></div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;      maxNumVecsForPageSize = std::max(maxNumVecsForPageSize, (<span class="keywordtype">size_t</span>) 1);</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;      <span class="keywordtype">size_t</span> tileSize = std::min((<span class="keywordtype">size_t</span>) n, maxNumVecsForPageSize);</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;      tileSize = std::min(tileSize, kSearchVecSize);</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; (size_t) n; i += tileSize) {</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        <span class="keywordtype">size_t</span> curNum = std::min(tileSize, n - i);</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        addPage_(curNum,</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;                 x + i * (<span class="keywordtype">size_t</span>) this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>,</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;                 ids ? ids + i : <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;      }</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;      addPage_(n, x, ids);</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    }</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  }</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;}</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;GpuIndex::addPage_(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;                   <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;                   <span class="keyword">const</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* ids) {</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  <span class="comment">// At this point, `x` can be resident on CPU or GPU, and `ids` may be resident</span></div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  <span class="comment">// on CPU, GPU or may be null.</span></div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;  <span class="comment">// Before continuing, we guarantee that all data will be resident on the GPU.</span></div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#aa0354aa570c24e17a9f8a6a45b153ed2">getDefaultStreamCurrentDevice</a>();</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  <span class="keyword">auto</span> vecs = toDevice&lt;float, 2&gt;(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;                                 <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>,</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;                                 <span class="keyword">const_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(x),</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                                 stream,</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                                 {n, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>});</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  <span class="keywordflow">if</span> (ids) {</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    <span class="keyword">auto</span> indices = toDevice&lt;Index::idx_t, 1&gt;(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                                             <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>,</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;                                             <span class="keyword">const_cast&lt;</span><a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>*<span class="keyword">&gt;</span>(ids),</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;                                             stream,</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;                                             {n});</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#ae8479445214c5ef37adf154c138ce973">addImpl_</a>(n, vecs.data(), ids ? indices.data() : <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#ae8479445214c5ef37adf154c138ce973">addImpl_</a>(n, vecs.data(), <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  }</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;}</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#a4564ff946e4339156173b39449562971">  176</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a4564ff946e4339156173b39449562971">GpuIndex::search</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n,</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;                 <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;                 <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> k,</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;                 <span class="keywordtype">float</span>* distances,</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;                 <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* labels)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  FAISS_THROW_IF_NOT_MSG(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>, <span class="stringliteral">&quot;Index not trained&quot;</span>);</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;  <span class="comment">// For now, only support &lt;= max int results</span></div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  FAISS_THROW_IF_NOT_FMT(n &lt;= (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>) std::numeric_limits&lt;int&gt;::max(),</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;                         <span class="stringliteral">&quot;GPU index only supports up to %d indices&quot;</span>,</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;                         std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  <span class="comment">// Maximum k-selection supported is based on the CUDA SDK</span></div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  FAISS_THROW_IF_NOT_FMT(k &lt;= (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>) getMaxKSelection(),</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;                         <span class="stringliteral">&quot;GPU index only supports k &lt;= %d (requested %d)&quot;</span>,</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;                         getMaxKSelection(),</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;                         (<span class="keywordtype">int</span>) k); <span class="comment">// select limitation</span></div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;  <span class="keywordflow">if</span> (n == 0 || k == 0) {</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    <span class="comment">// nothing to search</span></div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;  }</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(device_);</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;  <span class="keyword">auto</span> stream = resources_-&gt;getDefaultStream(device_);</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;  <span class="comment">// We guarantee that the searchImpl_ will be called with device-resident</span></div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;  <span class="comment">// pointers.</span></div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;  <span class="comment">// The input vectors may be too large for the GPU, but we still</span></div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  <span class="comment">// assume that the output distances and labels are not.</span></div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;  <span class="comment">// Go ahead and make space for output distances and labels on the</span></div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;  <span class="comment">// GPU.</span></div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  <span class="comment">// If we reach a point where all inputs are too big, we can add</span></div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  <span class="comment">// another level of tiling.</span></div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  <span class="keyword">auto</span> outDistances =</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    toDevice&lt;float, 2&gt;(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>, distances, stream,</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;                       {(int) n, (<span class="keywordtype">int</span>) k});</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;  <span class="keyword">auto</span> outLabels =</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    toDevice&lt;faiss::Index::idx_t, 2&gt;(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>, labels, stream,</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;                                     {(int) n, (<span class="keywordtype">int</span>) k});</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;  <span class="keywordtype">bool</span> usePaged = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;  <span class="keywordflow">if</span> (getDeviceForAddress(x) == -1) {</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    <span class="comment">// It is possible that the user is querying for a vector set size</span></div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <span class="comment">// `x` that won&#39;t fit on the GPU.</span></div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <span class="comment">// In this case, we will have to handle paging of the data from CPU</span></div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    <span class="comment">// -&gt; GPU.</span></div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="comment">// Currently, we don&#39;t handle the case where the output data won&#39;t</span></div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <span class="comment">// fit on the GPU (e.g., n * k is too large for the GPU memory).</span></div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    <span class="keywordtype">size_t</span> dataSize = (size_t) n * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>);</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    <span class="keywordflow">if</span> (dataSize &gt;= <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a32a08664fc4dca2f9405e07ea5bc206f">minPagedSize_</a>) {</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;      searchFromCpuPaged_(n, x, k,</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;                          outDistances.data(),</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;                          outLabels.data());</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;      usePaged = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    }</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;  }</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;  <span class="keywordflow">if</span> (!usePaged) {</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    searchNonPaged_(n, x, k,</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;                    outDistances.data(),</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;                    outLabels.data());</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  }</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;  <span class="comment">// Copy back if necessary</span></div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;  fromDevice&lt;float, 2&gt;(outDistances, distances, stream);</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;  fromDevice&lt;faiss::Index::idx_t, 2&gt;(outLabels, labels, stream);</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;}</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;GpuIndex::searchNonPaged_(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;                          <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;                          <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;                          <span class="keywordtype">float</span>* outDistancesData,</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;                          <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* outIndicesData)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;  <span class="keyword">auto</span> stream = resources_-&gt;getDefaultStream(device_);</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  <span class="comment">// Make sure arguments are on the device we desire; use temporary</span></div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  <span class="comment">// memory allocations to move it if necessary</span></div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;  <span class="keyword">auto</span> vecs = toDevice&lt;float, 2&gt;(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;                                 <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>,</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;                                 <span class="keyword">const_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(x),</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;                                 stream,</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;                                 {n, (int) this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>});</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a184c443785b715fd692b2b67aa71d687">searchImpl_</a>(n, vecs.data(), k, outDistancesData, outIndicesData);</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;}</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;GpuIndex::searchFromCpuPaged_(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;                              <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;                              <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;                              <span class="keywordtype">float</span>* outDistancesData,</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;                              <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* outIndicesData)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;  Tensor&lt;float, 2, true&gt; outDistances(outDistancesData, {n, k});</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;  Tensor&lt;Index::idx_t, 2, true&gt; outIndices(outIndicesData, {n, k});</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;  <span class="comment">// Is pinned memory available?</span></div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  <span class="keyword">auto</span> pinnedAlloc = resources_-&gt;getPinnedMemory();</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;  <span class="keywordtype">int</span> pageSizeInVecs =</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    (int) ((pinnedAlloc.second / 2) / (<span class="keyword">sizeof</span>(float) * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>));</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;  <span class="keywordflow">if</span> (!pinnedAlloc.first || pageSizeInVecs &lt; 1) {</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    <span class="comment">// Just page without overlapping copy with compute</span></div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;    <span class="keywordtype">int</span> batchSize = utils::nextHighestPowerOf2(</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;      (<span class="keywordtype">int</span>) ((<span class="keywordtype">size_t</span>) kNonPinnedPageSize /</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;             (<span class="keyword">sizeof</span>(<span class="keywordtype">float</span>) * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>)));</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> cur = 0; cur &lt; n; cur += batchSize) {</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;      <span class="keywordtype">int</span> num = std::min(batchSize, n - cur);</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;      <span class="keyword">auto</span> outDistancesSlice = outDistances.narrowOutermost(cur, num);</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;      <span class="keyword">auto</span> outIndicesSlice = outIndices.narrowOutermost(cur, num);</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;      searchNonPaged_(num,</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;                      x + (<span class="keywordtype">size_t</span>) cur * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>,</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;                      k,</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;                      outDistancesSlice.data(),</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;                      outIndicesSlice.data());</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    }</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;  }</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;  <span class="comment">// Pinned memory is available, so we can overlap copy with compute.</span></div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;  <span class="comment">// We use two pinned memory buffers, and triple-buffer the</span></div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;  <span class="comment">// procedure:</span></div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;  <span class="comment">// 1 CPU copy -&gt; pinned</span></div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;  <span class="comment">// 2 pinned copy -&gt; GPU</span></div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;  <span class="comment">// 3 GPU compute</span></div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;  <span class="comment">// 1 2 3 1 2 3 ...   (pinned buf A)</span></div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  <span class="comment">//   1 2 3 1 2 ...   (pinned buf B)</span></div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;  <span class="comment">//     1 2 3 1 ...   (pinned buf A)</span></div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;  <span class="comment">// time -&gt;</span></div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;  <span class="keyword">auto</span> defaultStream = resources_-&gt;getDefaultStream(device_);</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;  <span class="keyword">auto</span> copyStream = resources_-&gt;getAsyncCopyStream(device_);</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;  FAISS_ASSERT((<span class="keywordtype">size_t</span>) pageSizeInVecs * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> &lt;=</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;               (<span class="keywordtype">size_t</span>) std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;  <span class="keywordtype">float</span>* bufPinnedA = (<span class="keywordtype">float</span>*) pinnedAlloc.first;</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;  <span class="keywordtype">float</span>* bufPinnedB = bufPinnedA + (<span class="keywordtype">size_t</span>) pageSizeInVecs * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;  <span class="keywordtype">float</span>* bufPinned[2] = {bufPinnedA, bufPinnedB};</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;  <span class="comment">// Reserve space on the GPU for the destination of the pinned buffer</span></div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;  <span class="comment">// copy</span></div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;  DeviceTensor&lt;float, 2, true&gt; bufGpuA(</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    resources_-&gt;getMemoryManagerCurrentDevice(),</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    {(int) pageSizeInVecs, (<span class="keywordtype">int</span>) this-&gt;d},</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;    defaultStream);</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;  DeviceTensor&lt;float, 2, true&gt; bufGpuB(</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    resources_-&gt;getMemoryManagerCurrentDevice(),</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    {(int) pageSizeInVecs, (<span class="keywordtype">int</span>) this-&gt;d},</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    defaultStream);</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;  DeviceTensor&lt;float, 2, true&gt;* bufGpus[2] = {&amp;bufGpuA, &amp;bufGpuB};</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;  <span class="comment">// Copy completion events for the pinned buffers</span></div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;  std::unique_ptr&lt;CudaEvent&gt; eventPinnedCopyDone[2];</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;  <span class="comment">// Execute completion events for the GPU buffers</span></div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;  std::unique_ptr&lt;CudaEvent&gt; eventGpuExecuteDone[2];</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;  <span class="comment">// All offsets are in terms of number of vectors; they remain within</span></div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;  <span class="comment">// int bounds (as this function only handles max in vectors)</span></div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;</div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;  <span class="comment">// Current start offset for buffer 1</span></div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  <span class="keywordtype">int</span> cur1 = 0;</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;  <span class="keywordtype">int</span> cur1BufIndex = 0;</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;</div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;  <span class="comment">// Current start offset for buffer 2</span></div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;  <span class="keywordtype">int</span> cur2 = -1;</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;  <span class="keywordtype">int</span> cur2BufIndex = 0;</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  <span class="comment">// Current start offset for buffer 3</span></div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;  <span class="keywordtype">int</span> cur3 = -1;</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;  <span class="keywordtype">int</span> cur3BufIndex = 0;</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;  <span class="keywordflow">while</span> (cur3 &lt; n) {</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    <span class="comment">// Start async pinned -&gt; GPU copy first (buf 2)</span></div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;    <span class="keywordflow">if</span> (cur2 != -1 &amp;&amp; cur2 &lt; n) {</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;      <span class="comment">// Copy pinned to GPU</span></div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;      <span class="keywordtype">int</span> numToCopy = std::min(pageSizeInVecs, n - cur2);</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;      <span class="comment">// Make sure any previous execution has completed before continuing</span></div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;      <span class="keyword">auto</span>&amp; eventPrev = eventGpuExecuteDone[cur2BufIndex];</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;      <span class="keywordflow">if</span> (eventPrev.get()) {</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;        eventPrev-&gt;streamWaitOnEvent(copyStream);</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;      }</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;      CUDA_VERIFY(cudaMemcpyAsync(bufGpus[cur2BufIndex]-&gt;data(),</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;                                  bufPinned[cur2BufIndex],</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;                                  (<span class="keywordtype">size_t</span>) numToCopy * this-&gt;d * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>),</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;                                  cudaMemcpyHostToDevice,</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;                                  copyStream));</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;      <span class="comment">// Mark a completion event in this stream</span></div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;      eventPinnedCopyDone[cur2BufIndex] =</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;        std::move(std::unique_ptr&lt;CudaEvent&gt;(<span class="keyword">new</span> CudaEvent(copyStream)));</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;      <span class="comment">// We pick up from here</span></div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;      cur3 = cur2;</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;      cur2 += numToCopy;</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;      cur2BufIndex = (cur2BufIndex == 0) ? 1 : 0;</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;    }</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    <span class="keywordflow">if</span> (cur3 != -1 &amp;&amp; cur3 &lt; n) {</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;      <span class="comment">// Process on GPU</span></div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;      <span class="keywordtype">int</span> numToProcess = std::min(pageSizeInVecs, n - cur3);</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;      <span class="comment">// Make sure the previous copy has completed before continuing</span></div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;      <span class="keyword">auto</span>&amp; eventPrev = eventPinnedCopyDone[cur3BufIndex];</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;      FAISS_ASSERT(eventPrev.get());</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;      eventPrev-&gt;streamWaitOnEvent(defaultStream);</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;      <span class="comment">// Create tensor wrappers</span></div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;      <span class="comment">// DeviceTensor&lt;float, 2, true&gt; input(bufGpus[cur3BufIndex]-&gt;data(),</span></div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;      <span class="comment">//                                    {numToProcess, this-&gt;d});</span></div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;      <span class="keyword">auto</span> outDistancesSlice = outDistances.narrowOutermost(cur3, numToProcess);</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;      <span class="keyword">auto</span> outIndicesSlice = outIndices.narrowOutermost(cur3, numToProcess);</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;      <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a184c443785b715fd692b2b67aa71d687">searchImpl_</a>(numToProcess,</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;                  bufGpus[cur3BufIndex]-&gt;data(),</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;                  k,</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;                  outDistancesSlice.data(),</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;                  outIndicesSlice.data());</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;      <span class="comment">// Create completion event</span></div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;      eventGpuExecuteDone[cur3BufIndex] =</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;        std::move(std::unique_ptr&lt;CudaEvent&gt;(<span class="keyword">new</span> CudaEvent(defaultStream)));</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;      <span class="comment">// We pick up from here</span></div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;      cur3BufIndex = (cur3BufIndex == 0) ? 1 : 0;</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;      cur3 += numToProcess;</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;    }</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;    <span class="keywordflow">if</span> (cur1 &lt; n) {</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;      <span class="comment">// Copy CPU mem to CPU pinned</span></div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;      <span class="keywordtype">int</span> numToCopy = std::min(pageSizeInVecs, n - cur1);</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;      <span class="comment">// Make sure any previous copy has completed before continuing</span></div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;      <span class="keyword">auto</span>&amp; eventPrev = eventPinnedCopyDone[cur1BufIndex];</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;      <span class="keywordflow">if</span> (eventPrev.get()) {</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;        eventPrev-&gt;cpuWaitOnEvent();</div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;      }</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;      memcpy(bufPinned[cur1BufIndex],</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;             x + (<span class="keywordtype">size_t</span>) cur1 * this-&gt;d,</div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;             (<span class="keywordtype">size_t</span>) numToCopy * this-&gt;d * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;      <span class="comment">// We pick up from here</span></div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;      cur2 = cur1;</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;      cur1 += numToCopy;</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;      cur1BufIndex = (cur1BufIndex == 0) ? 1 : 0;</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;    }</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;  }</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;}</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;} } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_aa0354aa570c24e17a9f8a6a45b153ed2"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#aa0354aa570c24e17a9f8a6a45b153ed2">faiss::gpu::GpuResources::getDefaultStreamCurrentDevice</a></div><div class="ttdeci">cudaStream_t getDefaultStreamCurrentDevice()</div><div class="ttdoc">Calls getDefaultStream with the current device. </div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00023">GpuResources.cpp:23</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_adbdc96814ff2d4390dfd860bd5918203"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#adbdc96814ff2d4390dfd860bd5918203">faiss::gpu::GpuIndex::getMinPagingSize</a></div><div class="ttdeci">size_t getMinPagingSize() const </div><div class="ttdoc">Returns the current minimum data size for paged searches. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00074">GpuIndex.cu:74</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a184c443785b715fd692b2b67aa71d687"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a184c443785b715fd692b2b67aa71d687">faiss::gpu::GpuIndex::searchImpl_</a></div><div class="ttdeci">virtual void searchImpl_(int n, const float *x, int k, float *distances, Index::idx_t *labels) const =0</div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a358cad8f80a9c4b3aff45f3f7c131d03"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a358cad8f80a9c4b3aff45f3f7c131d03">faiss::gpu::GpuIndex::addImplRequiresIDs_</a></div><div class="ttdeci">virtual bool addImplRequiresIDs_() const =0</div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a47f6969fe60d82b8e3407557ba9eec88"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a47f6969fe60d82b8e3407557ba9eec88">faiss::gpu::GpuIndex::add_with_ids</a></div><div class="ttdeci">void add_with_ids(Index::idx_t n, const float *x, const Index::idx_t *ids) override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00085">GpuIndex.cu:85</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a2a002388d2c081c2dbab8508dcefe73d"><div class="ttname"><a href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">faiss::Index::d</a></div><div class="ttdeci">int d</div><div class="ttdoc">vector dimension </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00066">Index.h:66</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_ad3f0d3071f987baabbdd3da4500c87ea"><div class="ttname"><a href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a></div><div class="ttdeci">long idx_t</div><div class="ttdoc">all indices are this type </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00062">Index.h:62</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a67750633faa35677ee505a1e61cfe142"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">faiss::gpu::GpuIndex::device_</a></div><div class="ttdeci">const int device_</div><div class="ttdoc">The GPU device we are resident on. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00126">GpuIndex.h:126</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a17b82a8a11783da6eb1b07c9aab98c36"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">faiss::gpu::GpuIndex::resources_</a></div><div class="ttdeci">GpuResources * resources_</div><div class="ttdoc">Manages streams, cuBLAS handles and scratch memory for devices. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00123">GpuIndex.h:123</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6970683faa021b7a6f1a0865c0d4eccd"><div class="ttname"><a href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">faiss::Index::ntotal</a></div><div class="ttdeci">idx_t ntotal</div><div class="ttdoc">total nb of indexed vectors </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00067">Index.h:67</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_af576341f6996b0e80e26b9748db51eb7"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#af576341f6996b0e80e26b9748db51eb7">faiss::gpu::GpuIndex::add</a></div><div class="ttdeci">void add(faiss::Index::idx_t, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00079">GpuIndex.cu:79</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceScope_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceScope.html">faiss::gpu::DeviceScope</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceUtils_8h_source.html#l00068">DeviceUtils.h:68</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6e92732617c4dbe364e7678dd8773a7f"><div class="ttname"><a href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">faiss::Index::is_trained</a></div><div class="ttdeci">bool is_trained</div><div class="ttdoc">set if the Index does not require training, or if training is done already </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00071">Index.h:71</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a32a08664fc4dca2f9405e07ea5bc206f"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a32a08664fc4dca2f9405e07ea5bc206f">faiss::gpu::GpuIndex::minPagedSize_</a></div><div class="ttdeci">size_t minPagedSize_</div><div class="ttdoc">Size above which we page copies from the CPU to GPU. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00132">GpuIndex.h:132</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a6c82cbea6b02cc996d634f822c1d310b"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a6c82cbea6b02cc996d634f822c1d310b">faiss::gpu::GpuIndex::setMinPagingSize</a></div><div class="ttdeci">void setMinPagingSize(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00069">GpuIndex.cu:69</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_ae8479445214c5ef37adf154c138ce973"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#ae8479445214c5ef37adf154c138ce973">faiss::gpu::GpuIndex::addImpl_</a></div><div class="ttdeci">virtual void addImpl_(int n, const float *x, const Index::idx_t *ids)=0</div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a4564ff946e4339156173b39449562971"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a4564ff946e4339156173b39449562971">faiss::gpu::GpuIndex::search</a></div><div class="ttdeci">void search(Index::idx_t n, const float *x, Index::idx_t k, float *distances, Index::idx_t *labels) const override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00176">GpuIndex.cu:176</a></div></div>
<div class="ttc" id="namespacefaiss_html_afd12191c638da74760ff397cf319752c"><div class="ttname"><a href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a></div><div class="ttdeci">MetricType</div><div class="ttdoc">Some algorithms support both an inner product version and a L2 search version. </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00044">Index.h:44</a></div></div>
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